Results 91 to 100 of about 147,801 (260)

Forward Kinematics Analysis of 2RUS/RRS Parallel Mechanism

Jixie chuandong, 2018
The iterative search method（ Newton or Quasi-Newton） is an important numerical method for solving the forward kinematics（ FK） problem of parallel mechanisms. Due to the extremely displacement singularity in the limbs,the search space is easy to be out of
Geng Mingchao, Bian Hui, Zhang Canguo, Li Xin   +3 more
doaj  

An Efficient Limited Memory Multi-Step Quasi-Newton Method

Mathematics
This paper is dedicated to the development of a novel class of quasi-Newton techniques tailored to address computational challenges posed by memory constraints. Such methodologies are commonly referred to as “limited” memory methods.
Issam A. R. Moghrabi, Basim A. Hassan
doaj   +1 more source

Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach

Journal of Forecasting, EarlyView.
ABSTRACT Count data, such as product sales and disease case counts, are common in business forecasting and many areas of science. Although the Poisson distribution is the best known model for such data, its use is severely limited by its assumption that the dispersion is a fixed function of the mean, which rarely holds in real‐world scenarios.
Easton Huch, Candace Berrett, Mason Ferlic, Kimberly F. Sellers   +3 more
wiley   +1 more source

Computing the Projection on the Intersection of Linear Equality and Cardinality Constraints

IEEE Access
In this paper, we introduce a novel approach to solve the vector projection problem under linear equality and cardinality constraints, termed the Quasi-Newton Lagrangian method. This approach employs a Lagrangian transformation to address linear equality
Xiao-Jing Wang, Zhen-Sheng Yu
doaj   +1 more source

Health Preferences and Sorting in the City

Health Economics, EarlyView.
ABSTRACT There are large health inequalities between neighborhoods in many cities of the world. This paper studies individuals' sorting based on health amenities and exposes an important connection between health preferences and the housing market. I estimate a neighborhood choice model using geolocated data from a health survey in New York City and ...
Manuela Puente‐Beccar
wiley   +1 more source

Quasi-Newton Based Preconditioning and Damped Quasi-Newton Schemes for Nonlinear Conjugate Gradient Methods [PDF]

, 2018
In this paper, we deal with matrix-free preconditioners for nonlinear conjugate gradient (NCG) methods. In particular, we review proposals based on quasi-Newton updates, and either satisfying the secant equation or a secant-like equation at some of the previous iterates.
Mehiddin Al-Baali, Andrea Caliciotti, Giovanni Fasano, Massimo Roma   +3 more
openaire   +1 more source

Harvest increase and culling as tools for managing chronic wasting disease in white‐tailed deer

The Journal of Wildlife Management, EarlyView.
We used an agent‐based model to simulate the effect of CWD management on a white‐tailed deer population in northwest Indiana and northeast Illinois. Our results suggest that wildlife managers should reconsider how and if they should manage CWD. Abstract Chronic wasting disease (CWD), a transmissible spongiform encephalopathy that affects white‐tailed ...
Jonathan D. Brooks, Aniruddha V. Belsare, Joe N. Caudell, Patrick A. Zollner   +3 more
wiley   +1 more source

Numerical benchmarking of dual decomposition-based optimization algorithms for distributed model predictive control

Results in Control and Optimization
This paper presents a benchmark study of dual decomposition-based distributed optimization algorithms applied to constraint-coupled model predictive control problems.
Vassilios Yfantis, Achim Wagner, Martin Ruskowski   +2 more
doaj   +1 more source

Minimizing electric vehicle charging costs in the microgrid using the BFGS Quasi-Newton Method [PDF]

E3S Web of Conferences
Electric vehicles (EVs) offer a compelling solution for mitigating pollution, addressing environmental alterations, and enhancing energy security.
Badugu Jayababu, Sandhya G., Nageswarareddy G., Kumar K. Vimala   +3 more
doaj   +1 more source

A Quasi-Newton Method with No Derivatives [PDF]

Mathematics of Computation, 1972
The Davidon formula and others of the “quasi-Newton” class, which are used in the unconstrained minimization of a function f f , provide a (generally) convergent sequence of approximations to the Hessian of f f . These formulas, however, require the independent calculation of the gradient of f f .
openaire   +1 more source